Labour is the biggest variable cost in most warehouse operations. Getting it right means more than headcount: it means having the right structure, induction, and controls in place before the first shift starts.
"Forecasting the labour gap is only half the job. The other half is building the infrastructure (induction, training, buddy systems) that makes those people useful on day one rather than a liability."
I've planned and executed peak labour scaling in high-volume pharmaceutical distribution, managing the full cycle from gap analysis and budget approval through agency selection, induction structure, and controlled integration into live operations. The gap analysis is where you find out how exposed you actually are. Most operations discover this too late.
How we forecasted a peak labour gap, compared agency cost against budget, selected temporary support, and prepared induction and training so 10 new starters could contribute without destabilising the floor.
Designing shift patterns around volume, not just headcount: what changes when the operation grows and the old rota stops working.
Building a labour model when order volumes are seasonal, variable, and only partially predictable, and what proxies actually work.
About these cases
These forecasts had to work. We were going into live peak operations and couldn't afford to be wrong. The numbers here are what the case was built on. Paulo Gomes has managed labour planning in regulated pharmaceutical distribution for 10 years.
